doi:

DOI: 10.3724/SP.J.1249.2018.02158

Journal of Shenzhen University Science and Engineering (深圳大学学报理工版) 2018/35:2 PP.158-165

Pedometer method based on adaptive multilevel thresholding


Abstract:
The step counter plays an important role in the smart phone and intelligent wearable device. It has been widely used in the fields of body building, medical treatment, and navigation. In order to handle the performance degradation caused by various motion states and non-walking interference, e.g., waist's shaking, in existing pedometer methods, we propose a novel pedometer method based on the adaptive multilevel thresholding technology, which can be divided into three thresholds controlling. Firstly, it finds the peaks and valleys by using the accelerometer data. Secondly, it calculates the frequency characteristic of human's movement based on the obtained peaks and valleys, and subsequently determines the motion state (such as walking slowly, walking fast or running). Thirdly, it adaptively assigns the time threshold and peak-valley threshold according to the estimated motion states to achieve step counting. Experimental results show that the proposed algorithm can adapt to different motion states and different sensor mounting positions, and obtain an average accuracy rate above 95%.

Key words:information processing technology,step counter,adaptive,multilevel thresholding,walking frequency characteristic,three-axis accelerometer,wearable device

ReleaseDate:2018-03-20 15:26:57



[1] 崔妍.肥胖症及其相关并发症的临床研究以及肥胖症患者不同糖代谢状态下血清相关因子变化的研究[D].北京:北京协和医学院, 2013. CUI Yan. Clinical study of obesity and its complications and the study of the change of related serum factors in obese patients with different glucose metabolism status[D]. Beijing:Peking Union Medical College, 2013.(in Chinese)

[2] 李世成,邵雄杰,甄达文, 等.运动对肥胖大鼠血清脂联素、血脂及体脂水平的影响[J].中国运动医学杂志, 2009, 28(1):41-44. LI Shicheng, SHAO Xiongjie, ZHEN Dawen, et al. Effects of exercise on serum adiponectin, blood lipids and body fat in obese rats[J]. Chinese Journal of Sports Medicine, 2009, 28(1):41-44.(in Chinese)

[3] 胡丹.对肥胖中年人个体运动处方的制定试验研究[D].武汉:武汉体育学院, 2014:52. HU Dan. Case study of the development of the middle-aged obese individuals exercise prescription[D].Wuhan:Wuhan Institute of Physical and Education, 2014:52.(in Chinese)

[4] SAI R P, BAPANAPALLE S, PRAVEEN K, et al.Pedometer and calorie calculator for fitness tracking using MEMS digital accelerometer[C]//International Conference on Invention Computer Technologies.Coimbatore, India:IEEE, 2016:1-6.

[5] 梁久桢,朱向军,陈璟.基于手机加速度传感器的高精低采样计步算法设计[J].西北大学学报自然科学版,2015, 45(5):938-744. LIANG Jiuzhen, ZHU Xiangjun, CHEN Jing. A high-accuracy and low-sampling-rate step counting algorithm design based on smartphone's accelerometer[J]. Journal of Northwest University Natural Science Edition, 2015, 45(5):938-744.(in Chinese)

[6] 王革超,梁久桢,陈璟, 等.加速度差分有限状态机计步算法[J].计算机科学与探索,2016, 10(8):1133-1142. WANG Gechao, LIANG Jiuzhen, CHEN Jing, et al. Step counting algorithm based on finite state machine using acceleration differential[J]. Journal of Frontiers of Computer Science and Technology, 2016, 10(8):1133-1142.(in Chinese)

[7] 陈国良,张言哲,杨洲.一种基于手机传感器自相关分析的计步器实现方法[J].中国惯性技术报,2014, 22(6):794-798. CHEN Guoliang, ZHANG Yanzhe, YANG Zhou. Realization of pedometer with auto-correlation analysis based on mobile phone sensor[J]. Journal of Chinese Inertial Technology, 2014, 22(6):794-798.(in Chinese)

[8] CHIEN J C, HIRAKAWA K, SHIEH J S, et al.An effective algorithm for dynamic pedometer calculation[C]//International Conference on Intelligent Informatics and Biomedical Sciences.Okinawa, Japan:IEEE, 2015:366-368.

[9] 王文杰,李军.基于手机加速度传感器的计步算法设计[J].工业控制计算机,2016, 29(1):75-79. WANG Wenjie, LI Jun. Algorithm design of counting steps based on mobile acceleration sensor[J]. Industrial Control Computer, 2016, 29(1):75-79.(in Chinese)

[10] TANG Zihao, GUO Yao, CHENG Xiangqun.Self-adaptive step counting on smartphones under unrestricted modes[C]//The 40th of Annual Computer Software and Application Conference.Atlanta, USA:IEEE, 2016:788-797.

[11] 楼喜中, 陟力, 方俊.MEMS传感器的计步算法研究[J].中国计量大学学报,2017, 28(1):81-86. LOU Xizhong, ZHI Li, FANG Jun. Algorithm of MEMS sensor step counting[J]. Journal of China University of Metrology, 2017, 28(1):81-86.(in Chiese)

[12] 陈国良,李飞,张言哲.一种基于自适应波峰检测的MEMS计步算法[J].中国惯性技术学报,2016, 23(3):315-321. CHEN Guoliang, LI Fei, ZHANG Yanzhe. Pedometer method based on adaptive peak detection algorithm[J]. Journal of Chinese Inertial Technology, 2016, 23(3):315-321.(in Chinese)

[13] 谢如花. 步数检测方法及在手腕式计步器中的应用研究[D]. 兰州:兰州交通大学, 2013. XIE Ruhua. A step detection method and the research of its application on the wrist-type pedometer[D]. Lanzhou:Lanzhou Jiaotong University, 2013.(in Chinese)

[14] RYU U J, AHN K, KIM E, et al. Adaptive step detection algorithm for wireless smart step counter[C]//Procee-ding of International Conference on Information Science and Applications. Suwon, South Korea:IEEE, 2013:1-4.

[15] SUSI M, RENAUDIN V, LACHAPELLE G. Motion mode recognition and step detection algorithms for mobile phone users[J]. Sensors, 2013, 13(2):1539-1562.

[16] 刘程,阳洪.自适应计步检测算法研究[J].压电与声光,2015, 37(2):258-261. LIU Cheng, YANG Hong. Study on adaptive pedometer detection algorithm[J]. Piezoelectrics & Acoustooptics, 2015, 37(2):258-261.(in Chinese)

[17] 黄政,韩立新,肖艳. 一种基于移动终端的新型计步方法[J]. 计算机学报,2017,40(8):1856-1871. HUANG Zheng, HAN Lixin, XIAO Yan. A new step detection approach based on mobile termination[J]. Chinese Journal of Computer, 2017, 40(8):1856-1871.(in Chinese)

[18] 赵阳,娄小平,刘锋, 等. 自适应MEMS加速度计滤波算法[J]. 传感器与微系统,2017, 35(11):120-127. ZHAO Yang, LOU Xiaoping, LIU Feng, et al. Adaptive filtering algorithm of MEMS accelerometer[J]. Transducer and Microsystem Technologies, 2017, 35(11):120-127.(in Chinese)

[19] 卢文,陈慈发.基于STM32和LIS3DSH的高精度计步器设计[J].单片机与嵌入式系统应用,2015(3):70-73. LU Wen, CHEN Cifa. High precision pedometer based on STM32 and LIS3DSH[J]. Microcontrollers & Embedded Systems, 2015(3):70-73.(in Chinese)